Khoram Erfan, Qian Xiaoping, Yuan Ming, Yu Zongfu
Opt Express. 2020 Mar 2;28(5):7060-7069. doi: 10.1364/OE.384438.
Adjoint optimization is an effective method in the inverse design of nanophotonic devices. In order to ensure the manufacturability, one would like to have control over the minimal feature sizes. Here we propose utilizing a level-set method based on b-spline surfaces in order to control the feature sizes. This approach is first used to design a wavelength demultiplexer. It is also used to implement a nanophotonic structure for artificial neural computing. In both cases, we show that the minimal feature sizes can be easily parameterized and controlled.
伴随优化是纳米光子器件逆向设计中的一种有效方法。为了确保可制造性，人们希望能够控制最小特征尺寸。在此，我们提出利用基于B样条曲面的水平集方法来控制特征尺寸。该方法首先用于设计一个波长解复用器，还用于实现一种用于人工神经计算的纳米光子结构。在这两种情况下，我们都表明最小特征尺寸能够很容易地进行参数化和控制。
